Functional Microorganisms in Bio-organic Fertilizers: Strain Screening, Application Validation and Characterization
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ID: 322736
2026
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Abstract
The efficacy of bio-organic fertilizers is strongly dependent on functional microbial strains; however, systematic frameworks for candidate strain acquisition, functional screening, application validation, and strain characterization remain insufficiently developed for bio-organic fertilizer research and product development. This review synthesizes the major functional microbial groups used in bio-organic fertilizers and their mechanisms of action, with particular emphasis on strain selection strategies, functional screening and application-validation pathways, and methods for strain identification and functional characterization. Current evidence indicates that conventional culture-based isolation, oligotrophic screening, extreme-habitat screening, and modern molecular and data-driven approaches each occupy distinct methodological niches. These strategies are respectively suited to pure-culture resource acquisition, discovery of strains adapted to resource-limited environments, identification of stress-tolerant and process-adaptive strains, and candidate discovery coupled with functional analysis. Importantly, optimization of functional strains should not rely solely on single in vitro trait-based screening. Instead, it should integrate formulation-related adaptability, robustness-oriented microbial phenotyping, and application-context validation into a tiered evaluation framework spanning strain acquisition, functional screening, application validation, and strain identification and functional characterization. This review provides a systematic methodological reference for the selection, evaluation, and product development of functional strains for bio-organic fertilizers (BOFs).
| Reference Key |
openalex_W7171613322
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| Authors | Weihong Chen, Kailing Zhong, Lechen Li, Yunqing Liu, Hao Wang, Dayi Qian, Hongzhi Ma |
| Journal | Journal of applied microbiology |
| Year | 2026 |
| DOI |
10.1093/jambio/lxag100
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| URL | |
| Keywords | Keywords not found |
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